research
For health research publications, the Faculty of Medicine guide suggests declaring the type, timing and purpose of AI use, never attributing authorship to an AI tool, and validating AI-assisted production through human authors.
Registro de cambios
Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.
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Universidad de Chile currently has 5 source-backed claim records and 2 official source attributions. Latest tracked changed date: 15 may 2026. No tracker diff rows are recorded in the latest public release.
Esta página combina todas las diferencias de versiones públicas para Universidad de Chile. Las instantáneas individuales de lanzamiento siguen disponibles desde sus URL específicas del lanzamiento.
Aún no se han registrado filas de diferencias de políticas entre versiones para esta universidad. La página sigue rastreando afirmaciones respaldadas por fuentes actuales, atribuciones de fuentes oficiales, estado de revisión, actualidad de las fuentes y JSON públicas para su descubrimiento y citación.
This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
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5 Afirmación registros
For health research publications, the Faculty of Medicine guide suggests declaring the type, timing and purpose of AI use, never attributing authorship to an AI tool, and validating AI-assisted production through human authors.
The Faculty of Medicine guide proposes five principles for AI initiatives in that faculty: transparency and traceability, human supervision and non-delegation of critical judgment, equity and technological justice, academic integrity and responsible authorship, and participatory governance with continuous updating.
The Faculty of Medicine's Humanizar la Inteligencia document describes itself as an orienting guide and not as binding regulation.
The FCFM guidance warns teaching teams that inadequate use of generative AI can create ethics risks such as plagiarism and copyright issues, and security/privacy risks such as insufficient data protection or data use without consent.
The FCFM guidance recommends that course teaching teams build a transparency policy with students around possible generative AI uses, including defining when and how the AI tool used should be cited.
2 source attributions
official_pdf Tracker checked at 15 may 2026, 4:04
official_pdf Tracker checked at 15 may 2026, 4:04